Abstract: In this paper, we study the problem of low-rank tensor learning, where only a few of training samples are observed and the underlying tensor has a low-rank structure. The existing methods ...
Abstract: Tensor completion aims to recover original data from its degraded observations and has shown promise in processing incomplete hyperspectral images (HSIs). Many previous studies have ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results